{"id":"W4386451513","doi":"10.2196/47677","title":"Sharing Reliable COVID-19 Information and Countering Misinformation: In-Depth Interviews With Information Advocates","year":2023,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arizona State University","keywords":"Misinformation; Distrust; Thematic analysis; Credibility; Psychology; Disinformation; Phone; Social media; Internet privacy; Information sharing; Health care; Public relations; Qualitative research; Political science; Computer science; Sociology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002282787,0.0001603003,0.0002483873,0.0006426688,0.0003615909,0.0002719926,0.0002654376,0.0002031065,0.000107283],"category_scores_gemma":[0.001025801,0.0001406064,0.00002959111,0.0008267344,0.0001873189,0.008073899,0.0001658583,0.0002315653,0.0004228402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737696,"about_ca_system_score_gemma":0.0003463564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330642,"about_ca_topic_score_gemma":0.000965506,"domain_scores_codex":[0.9982473,0.00006998648,0.0008398762,0.0001019296,0.0002730943,0.0004677761],"domain_scores_gemma":[0.9988464,0.0001571322,0.0003988103,0.0001990678,0.0001299451,0.0002686865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002709707,0.00001779668,0.1102777,0.0007010523,0.00002526619,0.000002028054,0.7412205,0.01590813,0.00000475186,0.06886271,0.02731103,0.03539803],"study_design_scores_gemma":[0.001874527,0.0001575335,0.09892099,0.0001589038,0.000007609337,0.00002698827,0.09440938,0.03363198,0.000007915008,0.002643876,0.7676861,0.000474212],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8864975,0.00003637792,0.003943308,0.007173357,0.0003629799,0.001236185,0.00001439735,0.0006711132,0.1000648],"genre_scores_gemma":[0.9902319,0.000523708,0.0003911553,0.008380637,0.00005367714,0.0000774963,0.0001898261,0.000005869929,0.0001457194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.740375,"threshold_uncertainty_score":0.5853382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06346334307942053,"score_gpt":0.3794883137523026,"score_spread":0.316024970672882,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}